The Data Exchange with Ben Lorica
A series of informal conversations with thought leaders, researchers, practitioners, and writers on a wide range of topics in technology, science, and of course big data, data science, artificial intelligence, and related applications. Anchored by Ben Lorica (@BigData), the Data Exchange also features a roundup of the most important stories from the worlds of data, machine learning and AI. Detailed show notes for each episode can be found on https://thedataexchange.media/ The Data Exchange podcast is a production of Gradient Flow [https://gradientflow.com/].
- Update frequency
- every 7 days
- Average duration
- 41 minutes
- Episodes
- 302
- Years Active
- 2019 - 2025
Why TinyML will be huge
In this episode of the Data Exchange I speak with Pete Warden, Staff Research Engineer at Google. Pete is a prolific author and teacher, and he has made many important contributions across many open …
An open source platform for training deep learning models
In this episode of the Data Exchange I speak with Evan Sparks, cofounder and CEO of Determined AI, a startup that recently open sourced a platform for training deep learning models. Many of the impr…
Algorithms that continually invent both problems and solutions
In this episode of the Data Exchange I speak with Kenneth Stanley, a Senior Research Manager at Uber AI and a Professor at UCF. Ken just announced that starting in June he is starting a new research …
Computational Models and Simulations of Epidemic Infectious Diseases
In this episode of the Data Exchange I speak with Bruno Gonçalves, a data scientist working at the intersection of Data Science and Finance. I have known Bruno for several years and we met when I rec…
Human-in-the-loop machine learning
In this episode of the Data Exchange I speak with Rob Munro, CEO of Machine Learning Consulting and author of the forthcoming book, “Human-in-the-loop Machine Learning”. If you want a copy of Rob’s b…
Next-generation simulation software will incorporate deep reinforcement learning
In this episode of the Data Exchange I speak with Chris Nicholson, founder and CEO of Pathmind, a startup applying deep reinforcement learning (DRL) to simulation problems. In a recent post I highli…
Business at the speed of AI: Lessons from Shopify
In this episode of the Data Exchange I speak with Solmaz Shahalizadeh, VP and Head of Data Science and Data Platform Engineering at Shopify. Shopify is a powerhouse in ecommerce and their technology …
How deep learning is being used in search and information retrieval
In this episode of the Data Exchange I speak with Edo Liberty, founder of Hypercube, a startup building tools for deploying deep learning models in search and information retrieval involving large co…
The responsible development, deployment and operation of machine learning systems
In this episode of the Data Exchange I speak with Alejandro Saucedo, Engineering Director at Seldon, a startup building tools for productionizing machine learning. Alejandro is also Chief Scientist a…
Hyperscaling natural language processing
In this episode of the Data Exchange I speak with Edmon Begoli, Chief Data Architect at Oak Ridge National Laboratory (ORNL). Edmon has developed and implemented large-scale data applications on sys…
What businesses need to know about model explainability
In this episode of the Data Exchange I speak with Krishna Gade, founder and CEO at Fiddler Labs, a startup focused on helping companies build trustworthy and understandable AI solutions. Prior to fou…
Scalable Machine Learning, Scalable Python, For Everyone
In this episode of the Data Exchange I speak with Dean Wampler, Head of Developer Relations at Anyscale, the startup founded by the creators of Ray. Ray is a distributed execution framework that make…
Computational humanness, analogy and innovation, and soft concepts
In this episode of the Data Exchange I speak with Dafna Shahaf, Associate Professor at the School of Computer Science and Engineering, the Hebrew University of Jerusalem. She also runs the hyadata la…
Building domain specific natural language applications
In this episode of the Data Exchange I speak with David Talby, co-creator of Spark NLP, an open source, highly scalable, production grade natural language processing (NLP) library. Spark NLP has beco…
The state of privacy-preserving machine learning
In this episode of the Data Exchange I speak with Morten Dahl, research scientist at Dropout Labs, a startup building a platform and tools for privacy-preserving machine learning. He is also behind T…
Taking messaging and data ingestion systems to the next level
Sijie Guo on how Apache Pulsar is able to handle both queuing and streaming, and both online and offline applications.
In this episode of the Data Exchange I speak with Sijie Guo, founder of StreamNat…
Business at the speed of AI: Lessons from Rakuten
The Data Exchange Podcast: Bahman Bahmani on attracting and retaining talent, and the importance of delivery-oriented teams.
In this episode of the Data Exchange I speak with Bahman Bahmani, VP of Dat…
The combination of the right software and commodity hardware will prove capable of handling most machine learning tasks
In this episode of the Data Exchange I speak with Nir Shavit, Professor of EECS at MIT, and cofounder and CEO of Neural Magic, a startup that is creating software to enable deep neural networks to ru…
Key AI and Data Trends for 2020
In this episode of the Data Exchange, I speak with my podcast co-organizer Mikio Braun, data scientist at GetYourGuide, and a former machine learning researcher and data architect. Mikio and I go out…
The evolution of TensorFlow and of machine learning infrastructure
In this episode of the Data Exchange I speak with Rajat Monga, one of the founding members of the TensorFlow Engineering team. Up until recently Rajat was the engineering manager for TensorFlow at Go…